sugiyama - 三民網路書店

21.Dynamics of Asymmetric Dissipative Systems: From Traffic Jam to Collective Motion

作者：Yuki Sugiyama 出版社：Springer Nature 出版日：2023/06/09 裝訂：精裝

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22.Bite Maker: The King's Omega Vol. 8

作者：Miwako Sugiyama 出版社：Seven Seas Pr 出版日：2023/07/18 裝訂：平裝

定價：455 元，優惠價：1 455

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23.Bite Maker: The King's Omega Vol. 9

作者：Miwako Sugiyama 出版社：Seven Seas Pr 出版日：2023/10/31 裝訂：平裝

定價：455 元，優惠價：1 455

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24.Introduction to Statistical Machine Learning

作者：Masashi Sugiyama 出版社：ACADEMIC PRESS 出版日：2015/09/25 裝訂：平裝

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for a

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25.Density Ratio Estimation in Machine Learning

作者：Masashi Sugiyama 出版社：Cambridge Univ Pr 出版日：2012/02/20 裝訂：精裝

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

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26.Human Sacrifice, Militarism, And Rulership

作者：Saburo Sugiyama 出版社：Cambridge Univ Pr 出版日：2005/04/25 裝訂：精裝

Teotihuacan was one of the earliest and more populous preColumbian cities, and the Feathered Serpent was its vital monument, erected circa 200 AD. This work explores the religious meanings and political implications of the pyramid with meticulous and thorough analyses of substantially new excavation data. Challenging the traditional view of the city as a legendary, sacred, or anonymously-governed centre, the book provides significant new insights on the Teotihuacan polity and society. It provides interpretations on the pyramid's location, architecture, sculptures, iconography, mass sacrificial graves and rich symbolic offerings, and concludes that the pyramid commemorated the accession of rulers who were inscribed to govern with military force on behalf of the gods. This archaeological examination of the monument shows it to be the physical manifestation of state ideologies such as the symbolism of human sacrifice, militarism, and individual-centred divine authority, ideologies which w

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27.Japones Desde Cero. Manual Para Principiantes

作者：Mitsuhiro Sugiyama 出版社：DUOMO EDICIONES 出版日：2023/07/25 裝訂：平裝

定價：768 元，優惠價：1 768

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28.Bite Maker: The King's Omega Vol. 11

作者：Miwako Sugiyama 出版社：Seven Seas Pr 出版日：2024/07/09 裝訂：平裝

定價：455 元，優惠價：1 455

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29.Japan's Industrialization in the World Economy:1859-1899 ― Export, Trade and Overseas Competition

作者：Shimya Sugiyama 出版社：Bloomsbury USA Academic 出版日：2013/01/31 裝訂：精裝

An analysis of Japan's industrialization in an international, historical and economic perspective, from the time that her ports were first opened to foreign trade.First published in 1988, this title

定價：12650 元，優惠價：9 11385

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30.Machine Learning from Weak Supervision

作者：Masashi Sugiyama 出版社：Mit Pr 出版日：2022/08/23 裝訂：精裝

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif

定價：3575 元，優惠價：79 2824

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31.Density Ratio Estimation in Machine Learning

作者：Masashi Sugiyama 出版社：Cambridge Univ Pr 出版日：2018/03/29 裝訂：平裝

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

定價：2159 元，優惠價：9 1943

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32.The Origins of Economic Thought in Modern Japan

作者：Chuhei Sugiyama 出版社：Taylor & Francis 出版日：2013/05/03 裝訂：平裝

By throwing light on economic thought in the period of the Japanese Enlightenment, this book will make clear what led to the institutionalization of business and economic education, the birth of the p

定價：2819 元，優惠價：9 2537

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33.Statistical Reinforcement Learning：Modern Machine Learning Approaches

作者：Masashi Sugiyama 出版社：PBKTYFRL 出版日：2020/06/30 裝訂：平裝

定價：2699 元，優惠價：9 2429

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34.Japanese Women

作者：Takie Sugiyama Lebra 出版社：Univ of Hawaii Pr 出版日：1986/01/01 裝訂：平裝

定價：765 元，優惠價：1 765

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35.The Japanese Self In Cultural Logic

作者：Takie Sugiyama Lebra 出版社：Univ of Hawaii Pr 出版日：2005/01/30 裝訂：精裝

Lebra (anthropology, U. of Hawai`i) analyzes Japanese culture through different conceptualizations of the self as it exists in linguistic and spatial categories. She applies two different modes of cul

定價：1890 元，優惠價：1 1890

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36.Making the Invisible Visible

作者：Tojo Thatchenkery; Keimei Sugiyama 出版社：Palgrave Macmillan 出版日：2011/08/15 裝訂：精裝

When we think of the most visible person in the workplace, we typically think of those who are in the most senior leadership positions; the CEO, the president of the organization, the program manager.

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37.Rational Extended Thermodynamics Beyond the Monatomic Gas ― Rarefied Polyatomic Gas, Dense Gas and Mixture With Multi-temperature

作者：Tommaso Ruggeri; Masaru Sugiyama 出版社：Springer Verlag 出版日：2015/08/17 裝訂：精裝

This book is dedicated to the recent developments in RET with the aim to explore polyatomic gas, dense gas and mixture of gases in non-equilibrium. In particular we present the theory of dense gases w

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38.Japanese Social Organization

作者：Takie Sugiyama Lebra (EDT) 出版社：Univ of Hawaii Pr 出版日：1992/07/01 裝訂：平裝 藍思：1400L

定價：855 元，優惠價：1 855

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39.Japanese Patterns of Behavior

作者：Takie Sugiyama Lebra 出版社：Univ of Hawaii Pr 出版日：1976/09/01 裝訂：平裝 藍思：1290L

Examines beliefs and values generally shared by the Japanese and the importance they place on social interactions, relationships, and proper conduct

定價：945 元，優惠價：1 945

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40.Machine Learning in Non-Stationary Environments ─ Introduction to Covariate Shift Adaptation

作者：Masashi Sugiyama; Motoaki Kawanabe 出版社：Mit Pr 出版日：2012/03/30 裝訂：精裝

As the power of computing has grown over the past few decades, the field of machinelearning has advanced rapidly in both theory and practice. Machine learning methods are usuallybased on the assumptio

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